Evidence map›Paper›PMID 32067104›Full record

ArticleJournal of cancer research and clinical oncology2020

A transcriptional metabolic gene-set based prognostic signature is associated with clinical and mutational features in head and neck squamous cell carcinoma.

Lu Xing, Mingzhu Guo, Xiaoqi Zhang, Xiaoqian Zhang, Feng Liu

Abstract read
In one paragraph

Article in Journal of cancer research and clinical oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  8. Cancer metabolism and carcinogenesis.Experimental hematology & oncology · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Lu XingSchool of Stomatology, Shandong University & Shandong Key Laboratory of Oral Tissue Regeneration & Shandong Engineering Laboratory for Dental Materials and Oral Tissue Regeneration, Shandong University, Wenhua West Road No. 44, Jinan, 250014, Shandong, China.
Mingzhu GuoSchool of Stomatology, Shandong University & Shandong Key Laboratory of Oral Tissue Regeneration & Shandong Engineering Laboratory for Dental Materials and Oral Tissue Regeneration, Shandong University, Wenhua West Road No. 44, Jinan, 250014, Shandong, China.
Xiaoqi ZhangDepartment of Orthodontics, State Key Laboratory Oral Disease, Sichuan University, West China Hospital Stomatology, Chengdu, 610041, Sichuan, China.
Xiaoqian ZhangDepartment of Stomatology, Haiyuan College of Kunming Medical University, Kunming, 650000, Yunnan, China.
Feng LiuSchool of Stomatology, Shandong University & Shandong Key Laboratory of Oral Tissue Regeneration & Shandong Engineering Laboratory for Dental Materials and Oral Tissue Regeneration, Shandong University, Wenhua West Road No. 44, Jinan, 250014, Shandong, China. kqjzk@sdu.edu.cn.ORCID http://orcid.org/0000-0002-4628-7452

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeHead and neck squamous cell carcinoma (HNSCC) is a common cancer with high mortality and poor prognosis partially owing to lack of application of predictive markers. Increasing evidence has suggested that metabolic dysregulation plays an important part in tumorigenesis. We aim to identify a prognostic metabolic pathway (MP) signature in HNSCC.

methodsSingle sample gene-set enrichment analysis (ssGSEA) was used in metabolic gene sets to develop a metabolism-based prognostic risk score (MPRS) for HNSCC using Cox regression analysis (univariate, LASSO, and stepwise multiple cox analysis), which was then validated in different subgroups, and association with clinical and mutational features was analyzed.

resultsSeventy-two dysregulated metabolic pathways were identified, and a six-MP signature (6MPS) was constructed which can effectively distinguish between the high- and low-risk patients in both training and testing sets, accompanied with high sensitivity and specificity (AUC = 0.7) in prognosis prediction. 6MPS was also applicable to patients of different subgroups. Furthermore, 6MPS is not only an independent prognostic predictor but also associated with clinicopathological and mutational features. Higher tumor stage and tumor mutation burden (TMB) have a higher MPRS.

conclusion6MPS functions not only as a promising predictor of prognosis and survival but also as potential marker for therapeutic schedule monitoring.

Indexed as

AdultAgedBiomarkers, TumorFemaleGene Expression ProfilingHumansKaplan-Meier EstimateMaleMiddle AgedPrognosisRisk FactorsSensitivity and SpecificitySquamous Cell Carcinoma of Head and NeckTranscriptomeBiomarkers, TumorBiomarkerHead and neck squamous cell carcinomaMetabolic pathwayPrognosisSurvival

Identifiers

PMID32067104
PMCPMC11804320

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.